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Check out the top art museums for free!

You might have been disappointed to find out that the top museums in New York cost a small fortune. In case you didn’t know, many of the top museums offer free days or special free hours. Here are the museums you probably had on your list:

FAMILY-FRIENDLY THINGS TO DO IN NOVEMBER

For lots of activities, check out our posts: Top 10 Things to Do with Kids in New York City , our Alice Olivia KneeLength Knit Skirt Buy Cheap Popular Discount Footlocker Pictures Buy Cheap Clearance Store XWJs2
and our list of over 100 things to do in New York City which include dozens of kid-friendly activities. And of course, a lot of the activities on our top ten list above in this post are great for kids too.

Winter’s Eve at Lincoln Square November 27, 2017 Free

Winter’s Eve at Lincoln Square

Located opposite the Lincoln Center for the Performing Arts, this event has a tree lighting, tastes of local restaurants, sidewalk performers, a brass band dance, and activities and entertainment for kids along Broadway. The celebration starts begins with the lighting of the Upper West Side Holiday Tree in Dante Park at Broadway and63rd Street, and continues along Broadway from Time Warner Center to 68th Street. music, performers, jugglers, stilt-walkers, and more. Find more information from their website Cheap How Much Discount Visit Rag amp; Bone/jean Woman Midrise Skinny Jeans Mid Denim Size 25 Rag amp; Bone Newest Cheap Price y1KaAlj1
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TIP: Lincoln Center offers tours of its beautiful, majestic concert halls. To find out more information and how to get discount tickets click .

Take a Food Tour all month, pay-what-you-like

Many of our pay-what-you-like food tours are amongst our most popular family-friendly tours, Especially our Greenwich Village Food Tour , our Summer Oneshoulder Crocheted Cottonvoile Mini Dress White Miguelina Discount 2018 Newest OlygogA9g
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with a visit to the Donut Plant, which we believe are THE best doughnuts in the city.

Check our tour calendar for days and times. In this video, you can see some pretty happy kids and teens, and of course, grown-ups tasting great food and learning some cool history of one of the most colorful neighborhoods in the city.

Holiday Train Show at Grand Central Terminal November 13- February 11, 2018 Free

Holiday Train Show at Grand Central Terminal

If you cant make it up to the New York Botanical Gardens train shown above, this Train Show is more centrally located. You also get the double bonus of visiting the spectacularGrand Central Terminal layout features Lionel trains traveling through a two-level, 34-foot-long miniature New York City and countryside scene. Vintage trains from the museum’s collection, including New York Central models, travel all the way to the diorama’s the North Pole. Get all the information here.

Data Source: Description of available measures: Time span: Geographical coverage:

This above source is an input used in producing the HYDE project data, as well as other datasets. Further references to this source are available in Goldewijk, K. K., Beusen, A., Janssen, P. (2010). Long-term dynamic modelling of global population and built-up area in a spatially explicit way: HYDE 3.1 . The Holocene.

The data from the HYDE project is in turn the basis for the population series published by the 'Clio-Infra' project

◦ Population, by Five-Year Age Group and Sex

◦ Population Sex Ratio (males per 100 females)

◦ Median Age

◦ Population Growth Per Year

◦ Crude Birth Rate

◦ Crude Death Rate

◦ Net Reproduction Rate

◦ Total Fertility Rate

◦ Life Expectancy at Birth by Sex

◦ Net Migration Rate

◦ Sex ratio at birth

◦ Births

◦ Births by Age-group of Mother

◦ Age-specific Fertility Rates

◦ Women Aged 15-49

◦ Deaths by Sex

◦ Infant Mortality

◦ Mortality Under Age 5

◦ Dependency Ratios

◦ Population by Age: 0-4, 0-14, 5-14, 15-24, 15-59, 15-64, 60+, 65+, 80+

Notes: Data Publisher:

Historical population data on a sub-national level – including their administrative divisions and principal towns – is collected by Jan Lahmeyer and published at his website www.populstat.info .

www.populstat.info

The Minnesota Population Center publishes various high-quality datasets based on census data beginning in 1790. At the time of writing this source was online at www.pop.umn.edu/index.php. It focuses on North America and Europe.

The Data Information Services Center (DISC) Archive at University of Wisconsin-Madison provides access to census data and population datasets (mostly for the Americas). At the time of writing this source was online at Cheap Sale Outlet Locations Floral Lace Shirt Yellow amp; Orange Burberry Wide Range Of Online Amazon Sale Online Classic For Sale 4qzEKQ2ir
.

The International Database published by the U.S. Census Bureau provides data for the time 1950-2100. At the time of writing this source was online at https://www.census.gov/data-tools/demo/idb/informationGateway.php .

The Atlas of the Biosphere publishes data on Population Density. At the time of writing this source was online at Rag amp; Bone HighRise Crop Pants Free Shipping Low Price Fee Shipping Free Shipping Perfect AQpuRgXtpT
.

As per estimates from Michael Kremer (1993) “ Open Front Scallop Cardigan silver grey Marks and Spencer For Cheap For Sale REctQtU7a
″, Quarterly Journal of Economics., August 1993, pp.681-716.

As per 2011 estimates from Carl Haub (2011), " How Many People Have Ever " Population Reference Bureau.

World population until2015 – Our World In Data series (see below)

World population projection 2016 to 2100 is the UN Medium Variant from the 2015 revision published by the UN Population Division

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Learn more about how Netflix designs, builds, and operates our systems and engineering organizations

By Andy Glover and Katharina Probst

Over the past four years, Netflix has gone from less than 50 Million subscribers to 125 Million subscribers. While this kind of growth has caused us no shortage of scaling challenges, we actually managed to improve the overall availability of our service in that time frame. Along the way, we have learned a lot and now have a much better understanding of what it takes to make our system more highly available. But the news is not all good. The truth is that we learned many of our lessons the hard way: through heroics, through mad scrambles when things went wrong, and sometimes unfortunately through customer-facing incidents. Even though we haven’t figured everything out and still have many opportunities to improve our systems, we want to share some of the experience we have gained and the tips or best practices we derived. Hopefully some of you will take something away that will save you a wake-up call at 3am for a customer-facing incident.

At Netflix, we have built and use Rebecca Taylor Silk Floral Print Mini Dress Sale Top Quality jOIbkunm5A
as a platform for continuous integration and delivery. Many of the best practices discussed here have been encoded into Spinnaker, so that they are easy to follow. While in this article we show how we internally encode the best practices in Spinnaker, the tips and best practices are more general and will help anyone make their systems be highly available.

Prefer regional deploys over globalones

Our goal is to provide the best customer experience possible. As a result, we aim to limit the blast radius of any change to our systems, validate the change, and then roll it out to a broader set of customers. More specifically, we roll out deployments to one AWS region at a time. This gives us an extra layer of safety in our production deployments. It also gives us the ability to quickly shift traffic away from affected customers, which is one of our most important remediation tools.

We also recommend verifying application functionality between each regional deployment, and avoid publishing during peak hours in the targeted region.

In Spinnaker, it’s straightforward to specify the region a deploy is targeted for.

Use Red/Black deployment strategy for production deploys

In a Red/Black (also called Blue/Green) deployment a new version of an app (red) will start to receive traffic as soon as it passes health checks. Once the red version is healthy, the previous (black) version is disabled and receives no traffic. If a rollback is needed, making a change is as simple as enabling the previous version. For our services, this is a model that allows us to move fast and get back to a known good state if something goes wrong.

To accomplish a Red/Black deployment with Spinnaker, our engineers simply have to specify the strategy in their pipeline (and optionally set parameters on the strategy), and Spinnaker will take care of the rollout.

Use deployment windows

Whenever you deploy a new version of your app, there are two things to keep in mind: first, are you (and/or your colleagues) able to watch the impacts of the deployment and available to remediate if need be? And second, there be a problem with your rollout, are you limiting the blast radius to the fewest customers possible?

Both of these reasons point to being mindful about when you deploy new software or new versions. In our case, our streaming traffic follows a relatively predictable pattern where most people stream in the evenings wherever they live. We recommend choosing deployment windows during working hours and at off-peak times for a selected region.

Spinnaker provides an interface to this through its pipeline UI. This makes it easy for you to specify the days and hours this pipeline can run.

Ensure automatically triggered deploys are not executed during off-hours orweekends

Deployment windows also apply to automatically triggered events. Spinnaker permits cron expressions as pipeline triggers. This can be useful in reducing the hand-holding our users have to do and reduces mental overhead. But this can also be a risky strategy: it’s easy to fashion an aggressive cron expression that’ll execute a pipeline during off-hours or weekends, which may not be what was expected. No matter what kind of automation you use, ensure that any pipeline triggered automatically (e.g., by cron) can be run unattended.

Enable ChaosMonkey

Chaos Monkey is built and open-sourced by Netflix and is part of our Chaos engineering suite of tools. Chaos Monkey unpredictably and automatically terminates instances in production. This serves as a forcing function to design services in a way that are resilient to single-instance failures. If they are not, Chaos Monkey will expose this vulnerability, so that service owners can fix it before it turns into a widespread customer-facing incident. At Netflix, our best practice is that all services in production should have Chaos Monkey enabled and owners of these services should detect no issues with Chaos Monkey terminating application instances.

Use (unit, integration, smoke) testing and canary analysis to validate code before it is pushed to production

The key to moving fast is automatically validating new versions of software before they are deployed. Ideally, running all necessary suites of tests can be done without any manual intervention.

In addition, we recommend the use of canary analysis. Canary analysis is an effective means to validate live traffic against new changes to a service. We have built a tool internally at Netflix, Kayenta , which we have recently open-sourced. Kayenta easily integrates within Spinnaker; in combination with manual judgement, Kayenta is a final gate before full fledged production traffic.

Use your judgement about manual intervention

Automate where possible, but use manual intervention where appropriate. For instance, it may be appropriate to check the results of a canary run before pushing a new version to production.

Where possible, deploy exactly what you tested to production

Now that you’ve done a lot of testing and validation of your new version, we highly recommend that you deploy to production what you tested. In our case this means that we prefer to copy a validated image from a test environment rather than baking in a production environment.

Regularly Review pagingsettings

Sometimes, the best thing you can do for the availability of your app is simple, but not obvious. When something goes wrong with your app, and more than likely it will at point, it’s important that the people who can fix it will be paged. So review your paging settings, and do so regularly. This will help ensure that the right people will be called quickly in the case of an incident.

Internally, Spinnaker has a handy “Page owner” button, so it’s especially important that this information is up-to-date, so that we do not get a false sense of security of being able to reach the app owner but then finding out that the configuration is outdated when we most need it.

Know how to roll back your deployquickly

Many of you will agree that even with solid testing, canaries, and other validation, sometimes something will be deployed to production that causes problems. Maybe it’s a rare bug exposed by a race condition that only gets triggered at scale. Whatever the case may be, it’s important that you know how to roll back to a good known state quickly if need be.

In Spinnaker, in the event of a production issue with a new version of your app, Karen Millen Striped PeakLapel Blazer Comfortable Cheap Price Fashion Style For Sale For Sale Free Shipping Clearance Cheapest Price Sale The Cheapest mT6zL
via the Rollback option under Server Group actions. Rollback will enable the ASG of your choice (usually the previous) and disable the faulty ASG. Spinnaker also supports creating rollback pipelines that can be executed upon pipeline failure or even triggered manually.

Fail a deployment when instances are not coming uphealthy

Over the years, a few times we fell into a bad state when a deployment succeeded, and instances came up, but they weren’t healthy and were not in fact able to handle traffic appropriately. The “successful” deployment gave us a false sense of security which quickly vanished when a critical service wasn’t actually healthy, and requests were quickly stacking up and failing, sometimes causing a retry storm and all kinds of havoc. From these experiences, we learned how important it is to fail a deployment when instances come up, but aren’t healthy.

Spinnaker has a flexible means for associating instance health. When an instance is unhealthy, Spinnaker will note it accordingly; what’s more, unhealthy instances won’t receive traffic. In the event of all instances in an ASG being unhealthy, Spinnaker will fail a deployment. To make it easier for operators, Spinnaker also clearly marks instance state as coming up, starting, waiting for discovery, unhealthy, and healthy with different colors, as can be seen below.

For automated deployments, notify the team of impending and completed deployments

Letting people know that a deployment has successfully gone into production is also recommended. This is critical for us operating successfully. Our best practice is to always watch your systems when changes are deployed. When something goes wrong, it’s important to know what has changed and when. For automated deployments, then, it is particularly important to notify the team so that they know to keep an eye on service health. We use Slack channels internally for notifications. In Spinnaker, Pipelines can notify any channel upon completion that operators want to notify.

Automate non-typical deployment situations rather than doing one-off manualwork

Every engineer has written one-off scripts for non-typical situations. And many have had situations where those “one-off” situations happen again, and now the rest of the team doesn’t know what the one engineer did in their script that was intended to run once and be thrown away!

Pipelines are an effective means for automating any series of steps, even those steps not executed day-to-day. One example is fashioning a pipeline for an emergency push where parameters are provided to control conditional execution such as skipping deployment windows.

Don’t forget to regularly test your non-typical (and typical) deployment pipelines in non-critical situations!

Use preconditions to verify expectedstate

We all operate in a world where systems change around us frequently. At Netflix, our hundreds of microservices change on an ongoing basis. Making assumptions, for instance about the state of other systems, can be dangerous. Learning from our own mistakes, we now use preconditions to ensure that assumptions are still valid when we deploy new code or make other changes. This is particularly important for pipelines that execute of long periods of time (possibly from a delay in manual judgement and/or deployment windows). Using precondition stages can verify expected state before potentially destructive actions.

Conclusion

This post summarizes a variety of tips and best practices that we have accumulated over the years at Netflix, often learning from our own mistakes. Our approach is to build tooling around these best practices whenever possible, because we have found that best practices are often followed when it’s easy to “fall into the pit of success” — when manual toil, which is brittle and unpleasant, is kept to a minimum.

Our goal is to always improve the availability of our service. For us, this means keeping the human in the loop when manual judgement is really needed, but not otherwise. By doing this, we target our engineers’ time towards those tasks that improve availability, while also freeing them up to focus on other things when their involvement is not needed.

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